Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods, and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, a displacement effect, an increase in immobility, and evidence in favor of a direct vs. an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology.

中文翻译：

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气候变化和移民文献的荟萃分析

最近对气候变化和移民文献的调查强调了实证研究的结果和方法的重要多样性。在本文中，我们进行了荟萃分析，以调查这些实证研究的方法选择在寻找一些关于气候因素作为人类流动驱动因素的特定结果方面的作用。我们在方法论方面对代表文献的 51 篇论文进行了编码。这导致对超过 85 个变量进行编码，这些变量捕获了回归级别分析的主要维度的方法。这些维度包括作者的声誉、流动性类型、流动性测量、数据类型、研究背景、计量经济学方法，以及最后但并非最不重要的气候因素测量。我们着眼于这些特征对发现气候变化的任何影响、位移效应、不动性增加以及支持直接与间接影响的证据的可能性的影响。我们的研究结果突出了一些重要方法选择的作用，例如流动性数据的频率、发展水平、人类流动性和气候因素的测量以及计量经济学方法。